Results 131 to 136 of about 992,707 (136)

Concentration of Cumulative Reward in Markov Decision Processes

arXiv.org
In this paper, we investigate the concentration properties of cumulative reward in Markov Decision Processes (MDPs), focusing on both asymptotic and non-asymptotic settings.
Borna Sayedana, Peter E. Caines, Aditya Mahajan   +2 more
semanticscholar   +1 more source

Wassily Hoeffding’s Work in the Sixties

, 1994
K. Oosterhoff, W. Zwet
semanticscholar   +1 more source

Universal integrals based on copulas

Fuzzy Optimization and Decision Making, 2014
E. Klement, R. Mesiar, F. Spizzichino, A. Stupňanová   +3 more
semanticscholar   +1 more source

Trading Book and Credit Risk: How Fundamental is the Basel Review?

, 2016
J. Laurent, Michael Sestier, Stéphane Thomas-Simonpoli   +2 more
semanticscholar   +1 more source

Learning rates for regularized least squares ranking algorithm

, 2017
Yu-long Zhao, Jun Fan, Lei Shi
semanticscholar   +1 more source

RKHSMetaMod : An R package to estimate the Hoeffding decomposition of an unknown function by solving RKHS Ridge Group Sparse optimization problem

2019
openaire   +1 more source